{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>Total Trade Quantity</th>\n",
       "      <th>Turnover (Lacs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1262.30</td>\n",
       "      <td>1264.15</td>\n",
       "      <td>254790.0</td>\n",
       "      <td>3220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-01-02</td>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1262.95</td>\n",
       "      <td>1263.30</td>\n",
       "      <td>940123.0</td>\n",
       "      <td>11885.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1282.90</td>\n",
       "      <td>1280.60</td>\n",
       "      <td>1317565.0</td>\n",
       "      <td>16821.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-01-04</td>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1299.20</td>\n",
       "      <td>2614380.0</td>\n",
       "      <td>33794.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-01-07</td>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1295.00</td>\n",
       "      <td>1294.85</td>\n",
       "      <td>910376.0</td>\n",
       "      <td>11799.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date     Open    High      Low     Last    Close  \\\n",
       "0  2013-01-01  1266.95  1267.9  1260.00  1262.30  1264.15   \n",
       "1  2013-01-02  1267.00  1272.4  1255.55  1262.95  1263.30   \n",
       "2  2013-01-03  1265.00  1284.0  1259.95  1282.90  1280.60   \n",
       "3  2013-01-04  1285.00  1301.0  1280.90  1299.00  1299.20   \n",
       "4  2013-01-07  1300.00  1304.0  1290.25  1295.00  1294.85   \n",
       "\n",
       "   Total Trade Quantity  Turnover (Lacs)  \n",
       "0              254790.0          3220.75  \n",
       "1              940123.0         11885.37  \n",
       "2             1317565.0         16821.01  \n",
       "3             2614380.0         33794.17  \n",
       "4              910376.0         11799.61  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd \n",
    "\n",
    "df = pd.read_csv('tcs_stock_2018-05-26.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>Total Trade Quantity</th>\n",
       "      <th>Turnover (Lacs)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1262.30</td>\n",
       "      <td>1264.15</td>\n",
       "      <td>254790.0</td>\n",
       "      <td>3220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1262.95</td>\n",
       "      <td>1263.30</td>\n",
       "      <td>940123.0</td>\n",
       "      <td>11885.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1282.90</td>\n",
       "      <td>1280.60</td>\n",
       "      <td>1317565.0</td>\n",
       "      <td>16821.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1299.20</td>\n",
       "      <td>2614380.0</td>\n",
       "      <td>33794.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-07</th>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1295.00</td>\n",
       "      <td>1294.85</td>\n",
       "      <td>910376.0</td>\n",
       "      <td>11799.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low     Last    Close  Total Trade Quantity  \\\n",
       "Date                                                                           \n",
       "2013-01-01  1266.95  1267.9  1260.00  1262.30  1264.15              254790.0   \n",
       "2013-01-02  1267.00  1272.4  1255.55  1262.95  1263.30              940123.0   \n",
       "2013-01-03  1265.00  1284.0  1259.95  1282.90  1280.60             1317565.0   \n",
       "2013-01-04  1285.00  1301.0  1280.90  1299.00  1299.20             2614380.0   \n",
       "2013-01-07  1300.00  1304.0  1290.25  1295.00  1294.85              910376.0   \n",
       "\n",
       "            Turnover (Lacs)  \n",
       "Date                         \n",
       "2013-01-01          3220.75  \n",
       "2013-01-02         11885.37  \n",
       "2013-01-03         16821.01  \n",
       "2013-01-04         33794.17  \n",
       "2013-01-07         11799.61  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将date 字段设置为索引\n",
    "df = df.set_index('Date')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1264.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1263.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1280.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-07</th>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1294.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low    Close\n",
       "Date                                         \n",
       "2013-01-01  1266.95  1267.9  1260.00  1264.15\n",
       "2013-01-02  1267.00  1272.4  1255.55  1263.30\n",
       "2013-01-03  1265.00  1284.0  1259.95  1280.60\n",
       "2013-01-04  1285.00  1301.0  1280.90  1299.20\n",
       "2013-01-07  1300.00  1304.0  1290.25  1294.85"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 弃用一些字段\n",
    "drop_columns = ['Last','Total Trade Quantity','Turnover (Lacs)']\n",
    "df = df.drop(drop_columns,axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Open     High       Low     Close\n",
      "Date                                             \n",
      "2013-01-01  0.126695  0.12679  0.126000  0.126415\n",
      "2013-01-02  0.126700  0.12724  0.125555  0.126330\n",
      "2013-01-03  0.126500  0.12840  0.125995  0.128060\n",
      "2013-01-04  0.128500  0.13010  0.128090  0.129920\n",
      "2013-01-07  0.130000  0.13040  0.129025  0.129485\n"
     ]
    }
   ],
   "source": [
    "df['High'] = df['High'] / 10000\n",
    "df['Open'] = df['Open'] / 10000\n",
    "df['Low'] = df['Low'] / 10000\n",
    "df['Close'] = df['Close'] / 10000\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\ipykernel_launcher.py:2: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# 将dataframe 转化为 array\n",
    "data = df.as_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train (1060, 5, 4)\n",
      "y_train (1060,)\n",
      "X_test (265, 5, 4)\n",
      "y_test (265,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from pandas import datetime\n",
    "import math\n",
    "import itertools\n",
    "from sklearn import preprocessing\n",
    "import datetime\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "\n",
    "# 1 : 数据切分\n",
    "result = []\n",
    "time_steps = 6\n",
    "\n",
    "\n",
    "for i in range(len(data)-time_steps):\n",
    "    result.append(data[i:i+time_steps])\n",
    "\n",
    "result = np.array(result)\n",
    "\n",
    "\n",
    "# 训练集和测试集的数据量划分\n",
    "train_size = int(0.8*len(result))\n",
    "\n",
    "# 训练集切分\n",
    "train = result[:train_size,:]\n",
    "\n",
    "x_train = train[:, :-1]\n",
    "y_train = train[:, -1][:,-1]\n",
    "   \n",
    "x_test = result[train_size:,:-1]\n",
    "y_test = result[train_size:,-1][:,-1]\n",
    "\n",
    "feature_nums = len(df.columns)\n",
    "\n",
    "# 数据重塑\n",
    "x_train = x_train.reshape(x_train.shape[0],x_train.shape[1],x_train.shape[2])\n",
    "x_test = x_test.reshape(x_test.shape[0],x_test.shape[1],x_test.shape[2])\n",
    "\n",
    "print(\"X_train\", x_train.shape)\n",
    "print(\"y_train\", y_train.shape)\n",
    "print(\"X_test\", x_test.shape)\n",
    "print(\"y_test\", y_test.shape)\n",
    "\n",
    " # 举例：用前5行数据，预测第6行的最后一个数据\n",
    "# train\n",
    " #[[[0.126695 0.12679  0.126    0.126415]\n",
    "#   [0.1267   0.12724  0.125555 0.12633 ]\n",
    "#   [0.1265   0.1284   0.125995 0.12806 ]\n",
    "#   [0.1285   0.1301   0.12809  0.12992 ]\n",
    "#   [0.13     0.1304   0.129025 0.129485]\n",
    "#   [0.1295   0.13043  0.12943  0.130025]]\n",
    "\n",
    "# x_train\n",
    "# [[[0.126695 0.12679  0.126    0.126415]\n",
    "#   [0.1267   0.12724  0.125555 0.12633 ]\n",
    "#   [0.1265   0.1284   0.125995 0.12806 ]\n",
    "#   [0.1285   0.1301   0.12809  0.12992 ]\n",
    "#   [0.13     0.1304   0.129025 0.129485]]\n",
    "\n",
    "# y_train\n",
    "#[0.130025]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\h5py\\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n",
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From C:\\SoftDir\\Anaconda\\lib\\site-packages\\keras\\backend\\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_1 (Dense)              (None, 5, 128)            640       \n",
      "_________________________________________________________________\n",
      "conv1d_1 (Conv1D)            (None, 5, 112)            14448     \n",
      "_________________________________________________________________\n",
      "max_pooling1d_1 (MaxPooling1 (None, 2, 112)            0         \n",
      "_________________________________________________________________\n",
      "conv1d_2 (Conv1D)            (None, 2, 64)             7232      \n",
      "_________________________________________________________________\n",
      "max_pooling1d_2 (MaxPooling1 (None, 2, 64)             0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 2, 64)             0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 100)               12900     \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 1)                 101       \n",
      "=================================================================\n",
      "Total params: 35,321\n",
      "Trainable params: 35,321\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "import math\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense,Activation,Dropout,Flatten,Conv1D,MaxPooling1D\n",
    "from keras.layers.recurrent import LSTM\n",
    "from keras import losses\n",
    "from keras import optimizers\n",
    "\n",
    "def build_model(input):\n",
    "    model = Sequential()\n",
    "    model.add(Dense(128,input_shape=(input[0],input[1])))\n",
    "    model.add(Conv1D(filters=112,kernel_size=1,padding='valid',activation='relu',kernel_initializer='uniform'))\n",
    "    model.add(MaxPooling1D(pool_size=2,padding='valid'))\n",
    "    model.add(Conv1D(filters=64,kernel_size=1,padding='valid',activation='relu',kernel_initializer='uniform'))\n",
    "    model.add(MaxPooling1D(pool_size=1,padding='valid'))\n",
    "    model.add(Dropout(0.2))\n",
    "    model.add(Flatten())\n",
    "    model.add(Dense(100,activation='relu',kernel_initializer='uniform'))\n",
    "    model.add(Dense(1,activation='relu',kernel_initializer='uniform'))\n",
    "    model.compile(loss='mse',optimizer='adam',metrics=['mae'])\n",
    "    return model \n",
    "\n",
    "model = build_model([5,4,1])\n",
    "\n",
    "# Summary of the Model\n",
    "print(model.summary())    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Train on 848 samples, validate on 212 samples\n",
      "Epoch 1/35\n",
      " - 0s - loss: 0.0482 - mean_absolute_error: 0.2159 - val_loss: 0.0466 - val_mean_absolute_error: 0.2154\n",
      "Epoch 2/35\n",
      " - 0s - loss: 0.0304 - mean_absolute_error: 0.1689 - val_loss: 0.0117 - val_mean_absolute_error: 0.1078\n",
      "Epoch 3/35\n",
      " - 0s - loss: 0.0052 - mean_absolute_error: 0.0623 - val_loss: 0.0061 - val_mean_absolute_error: 0.0779\n",
      "Epoch 4/35\n",
      " - 0s - loss: 0.0025 - mean_absolute_error: 0.0411 - val_loss: 0.0026 - val_mean_absolute_error: 0.0499\n",
      "Epoch 5/35\n",
      " - 0s - loss: 0.0026 - mean_absolute_error: 0.0454 - val_loss: 0.0014 - val_mean_absolute_error: 0.0362\n",
      "Epoch 6/35\n",
      " - 0s - loss: 8.2420e-04 - mean_absolute_error: 0.0235 - val_loss: 4.8669e-04 - val_mean_absolute_error: 0.0207\n",
      "Epoch 7/35\n",
      " - 0s - loss: 9.5172e-04 - mean_absolute_error: 0.0248 - val_loss: 2.4371e-04 - val_mean_absolute_error: 0.0136\n",
      "Epoch 8/35\n",
      " - 0s - loss: 7.8130e-04 - mean_absolute_error: 0.0234 - val_loss: 4.0451e-04 - val_mean_absolute_error: 0.0183\n",
      "Epoch 9/35\n",
      " - 0s - loss: 5.7769e-04 - mean_absolute_error: 0.0194 - val_loss: 7.6351e-05 - val_mean_absolute_error: 0.0067\n",
      "Epoch 10/35\n",
      " - 0s - loss: 5.6763e-04 - mean_absolute_error: 0.0188 - val_loss: 1.5901e-04 - val_mean_absolute_error: 0.0106\n",
      "Epoch 11/35\n",
      " - 0s - loss: 5.4737e-04 - mean_absolute_error: 0.0191 - val_loss: 1.3938e-04 - val_mean_absolute_error: 0.0099\n",
      "Epoch 12/35\n",
      " - 0s - loss: 5.4827e-04 - mean_absolute_error: 0.0187 - val_loss: 7.0942e-05 - val_mean_absolute_error: 0.0067\n",
      "Epoch 13/35\n",
      " - 0s - loss: 5.3777e-04 - mean_absolute_error: 0.0186 - val_loss: 1.2581e-04 - val_mean_absolute_error: 0.0093\n",
      "Epoch 14/35\n",
      " - 0s - loss: 4.4300e-04 - mean_absolute_error: 0.0167 - val_loss: 9.9489e-05 - val_mean_absolute_error: 0.0082\n",
      "Epoch 15/35\n",
      " - 0s - loss: 4.6059e-04 - mean_absolute_error: 0.0173 - val_loss: 7.0828e-05 - val_mean_absolute_error: 0.0067\n",
      "Epoch 16/35\n",
      " - 0s - loss: 4.6633e-04 - mean_absolute_error: 0.0174 - val_loss: 1.0856e-04 - val_mean_absolute_error: 0.0086\n",
      "Epoch 17/35\n",
      " - 0s - loss: 4.3872e-04 - mean_absolute_error: 0.0169 - val_loss: 8.6097e-05 - val_mean_absolute_error: 0.0076\n",
      "Epoch 18/35\n",
      " - 0s - loss: 4.2215e-04 - mean_absolute_error: 0.0168 - val_loss: 7.2752e-05 - val_mean_absolute_error: 0.0069\n",
      "Epoch 19/35\n",
      " - 0s - loss: 4.4326e-04 - mean_absolute_error: 0.0169 - val_loss: 9.6697e-05 - val_mean_absolute_error: 0.0081\n",
      "Epoch 20/35\n",
      " - 0s - loss: 4.1063e-04 - mean_absolute_error: 0.0162 - val_loss: 6.8877e-05 - val_mean_absolute_error: 0.0067\n",
      "Epoch 21/35\n",
      " - 0s - loss: 3.7171e-04 - mean_absolute_error: 0.0153 - val_loss: 7.7457e-05 - val_mean_absolute_error: 0.0072\n",
      "Epoch 22/35\n",
      " - 0s - loss: 3.7382e-04 - mean_absolute_error: 0.0157 - val_loss: 8.3605e-05 - val_mean_absolute_error: 0.0076\n",
      "Epoch 23/35\n",
      " - 0s - loss: 3.5664e-04 - mean_absolute_error: 0.0153 - val_loss: 6.0171e-05 - val_mean_absolute_error: 0.0062\n",
      "Epoch 24/35\n",
      " - 0s - loss: 3.6367e-04 - mean_absolute_error: 0.0154 - val_loss: 7.3125e-05 - val_mean_absolute_error: 0.0070\n",
      "Epoch 25/35\n",
      " - 0s - loss: 3.1167e-04 - mean_absolute_error: 0.0144 - val_loss: 5.3521e-05 - val_mean_absolute_error: 0.0058\n",
      "Epoch 26/35\n",
      " - 0s - loss: 3.1933e-04 - mean_absolute_error: 0.0147 - val_loss: 5.7257e-05 - val_mean_absolute_error: 0.0061\n",
      "Epoch 27/35\n",
      " - 0s - loss: 2.6462e-04 - mean_absolute_error: 0.0130 - val_loss: 5.0163e-05 - val_mean_absolute_error: 0.0056\n",
      "Epoch 28/35\n",
      " - 0s - loss: 2.7777e-04 - mean_absolute_error: 0.0136 - val_loss: 5.2850e-05 - val_mean_absolute_error: 0.0058\n",
      "Epoch 29/35\n",
      " - 0s - loss: 2.3515e-04 - mean_absolute_error: 0.0122 - val_loss: 5.0033e-05 - val_mean_absolute_error: 0.0056\n",
      "Epoch 30/35\n",
      " - 0s - loss: 2.1796e-04 - mean_absolute_error: 0.0117 - val_loss: 4.1770e-05 - val_mean_absolute_error: 0.0050\n",
      "Epoch 31/35\n",
      " - 0s - loss: 2.0926e-04 - mean_absolute_error: 0.0116 - val_loss: 4.1329e-05 - val_mean_absolute_error: 0.0050\n",
      "Epoch 32/35\n",
      " - 0s - loss: 2.1651e-04 - mean_absolute_error: 0.0117 - val_loss: 6.0067e-05 - val_mean_absolute_error: 0.0063\n",
      "Epoch 33/35\n",
      " - 0s - loss: 2.1119e-04 - mean_absolute_error: 0.0114 - val_loss: 4.1704e-05 - val_mean_absolute_error: 0.0050\n",
      "Epoch 34/35\n",
      " - 0s - loss: 2.0772e-04 - mean_absolute_error: 0.0113 - val_loss: 4.8208e-05 - val_mean_absolute_error: 0.0054\n",
      "Epoch 35/35\n",
      " - 0s - loss: 1.9422e-04 - mean_absolute_error: 0.0108 - val_loss: 6.8156e-05 - val_mean_absolute_error: 0.0068\n",
      "1.5692498550724638\n"
     ]
    }
   ],
   "source": [
    "# 训练数据\n",
    "from timeit import default_timer as timer\n",
    "start = timer()\n",
    "history = model.fit(x_train,\n",
    "                    y_train,\n",
    "                    batch_size=128,\n",
    "                    epochs=35,\n",
    "                    validation_split=0.2,\n",
    "                    verbose=2)\n",
    "end = timer()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['val_loss', 'val_mean_absolute_error', 'loss', 'mean_absolute_error'])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 返回history\n",
    "history_dict = history.history\n",
    "history_dict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出训练集和验证集的损失曲线\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "loss_values = history_dict['loss']\n",
    "val_loss_values = history_dict['val_loss']\n",
    "loss_values50 = loss_values[0:150]\n",
    "val_loss_values50 = val_loss_values[0:150]\n",
    "epochs = range(1, len(loss_values50) + 1)\n",
    "plt.plot(epochs, loss_values50, 'b',color = 'blue', label='Training loss')\n",
    "plt.plot(epochs, val_loss_values50, 'b',color='red', label='Validation loss')\n",
    "plt.rc('font', size = 18)\n",
    "plt.title('Training and validation loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.xticks(epochs)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15,7)\n",
    "#fig.savefig('img/tcstest&validationlosscnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出训练集和验证集的误差图像\n",
    "\n",
    "mae = history_dict['mean_absolute_error']\n",
    "vmae = history_dict['val_mean_absolute_error']\n",
    "epochs = range(1, len(mae) + 1)\n",
    "plt.plot(epochs, mae, 'b',color = 'blue', label='Training error')\n",
    "plt.plot(epochs, vmae, 'b',color='red', label='Validation error')\n",
    "plt.title('Training and validation error')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Error')\n",
    "plt.legend()\n",
    "plt.xticks(epochs)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15,7)\n",
    "#fig.savefig('img/tcstest&validationerrorcnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['loss', 'mean_absolute_error']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.metrics_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainScore = model.evaluate(x_train, y_train, verbose=0)\n",
    "testScore = model.evaluate(x_test, y_test, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出真实值和测试集的预测值之间的误差图像\n",
    "plt.plot(p,color='red', label='prediction')\n",
    "plt.plot(y_test,color='blue', label='y_test')\n",
    "plt.xlabel('No. of Trading Days')\n",
    "plt.ylabel('Close Value (scaled)')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15, 5)\n",
    "#fig.savefig('img/tcstestcnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1= model.predict(x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(p1[:848],color='red', label='prediction on training samples')\n",
    "x = np.array(range(848,1060))\n",
    "plt.plot(x,p1[848:],color = 'magenta',label ='prediction on validating samples')\n",
    "plt.plot(y_train,color='blue', label='y_train')\n",
    "plt.xlabel('No. of Trading Days')\n",
    "plt.ylabel('Close Value (scaled)')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(20,10)\n",
    "#fig.savefig('img/tcstraincnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Trainscore RMSE \tTrain Mean abs Error \tTestscore Rmse \t Test Mean abs Error\n",
      "0.008174290 \t\t 0.006701260 \t\t 0.013495499 \t\t 0.011034708\n"
     ]
    }
   ],
   "source": [
    "y = y_test * 10000  # 原始数据经过除以10000进行缩放，因此乘以10000,返回到原始数据规模\n",
    "y_pred = p.reshape(265)  # 测试集数据大小为265\n",
    "y_pred = y_pred * 10000  # 原始数据经过除以10000进行缩放，因此乘以10000,返回到原始数据规模\n",
    "\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "print('Trainscore RMSE \\tTrain Mean abs Error \\tTestscore Rmse \\t Test Mean abs Error')\n",
    "print('%.9f \\t\\t %.9f \\t\\t %.9f \\t\\t %.9f' % (math.sqrt(trainScore[0]),trainScore[1],math.sqrt(testScore[0]),testScore[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean absolute error \t mean absolute percentage error\n",
      " 110.347088738 \t\t\t 3.916924238\n"
     ]
    }
   ],
   "source": [
    "print('mean absolute error \\t mean absolute percentage error')\n",
    "print(' %.9f \\t\\t\\t %.9f' % (mean_absolute_error(y,y_pred),(np.mean(np.abs((y - y_pred) / y)) * 100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  训练集、验证集、测试集 之间的比较\n",
    "\n",
    "Y = np.concatenate((y_train,y_test),axis = 0)\n",
    "P = np.concatenate((p1,p),axis = 0)\n",
    "#plotting the complete Y set with predicted values on x_train and x_test(variable p1 & p respectively given above)\n",
    "#for \n",
    "plt.plot(P[:848],color='red', label='prediction on training samples')\n",
    "#for validating samples\n",
    "z = np.array(range(848,1060))\n",
    "plt.plot(z,P[848:1060],color = 'black',label ='prediction on validating samples')\n",
    "#for testing samples\n",
    "x = np.array(range(1060,1325))\n",
    "plt.plot(x,P[1060:],color = 'green',label ='prediction on testing samples(x_test)')\n",
    "\n",
    "plt.plot(Y,color='blue', label='Y')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(20,12)\n",
    "plt.show()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
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  "toc": {
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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